Biblioteca do Café
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Item A design of experiment strategy for quality control of specialty coffee drink based on sensory analysis and statistical tools(Instituto de Tecnologia de Alimentos – ITAL, 2024-12-06) Pinto, Licarion; Lopes Júnior, Hilton; Alves, Enrique Anastácio; Rocha, Rodrigo Barros; Teixeira, Alexsandro Lara; Gois, Jefferson Santos deSensory analysis is crucial for assessing food and beverage quality, but discrepancies may arise in some cases and make the quality evaluation imprecise even with statistical analysis. This issue can be mitigated by sensory analysis based on the coffee drink nuanced characteristics. Therefore, in this study, six Q-Graders, following the Specialty Coffee Association of America's sensory analysis method, evaluated various samples and the data was evaluated statistically. The experiment employed a multilevel categorical design, encompassing six evaluator levels, 44 sample levels, and two types of quality assessment. Grades were assigned to the 44 samples using traditional evaluation (no comments) and guided evaluation (prior sample information). It was possible to identify evaluators whose assessments were unbiased across both guided and traditional evaluations. This work introduced a novel strategy to identify biased evaluators, assess the impact of evaluation types, and perform a more accurate assessment of Coffea canephora Pierre ex-Froehner (coffee) quality and assurance assisted with statistical analysis.Item Fruit and bean traits of the Coffea canephora genotypes most grown in western Amazon(Empresa Brasileira de Pesquisa Agropecuária - Embrapa, 2024-11-25) Lopes Júnior, Hilton; Rocha, Rodrigo Barros; Silva, Adriele Nunes Rodrigues; Moraes, Amanda de Oliveira; Alves, Enrique Anastácio; Espindula, Marcelo Curitiba; Teixeira, Alexsandro LaraThe objective of this work was to quantify the genetic diversity and selection gains regarding the physical traits of the fruits and beans of the 86 Coffea canephora clones most grown in western Amazon. The clones were evaluated as to the effects of genotypes (G), years (Y), and the GxY interaction. Genetic progress was quantified considering combined selection and direct selection for coffee bean weight. Although there was a GxY interaction, based on repeatability estimates the plants presented a similar performance over time. A positive correlation was observed between fruit and bean weight, except for some genotypes, such as R22, AS5, and 'BRS 3210', which presented larger beans and smaller fruit, and as BG180, P42, LB60, G20, and N12, with larger fruit and smaller beans. Using selection for the main trait, the estimates of genetic progress were similar to those obtained through different selection indexes, through which 14 genotypes with a higher bean weight were selected. The evaluated C. canephora clones exhibit high genetic diversity for the selection of plants with higher grain mass.